Bachelor of Information Technology (Hons.) Business Intelligence and Analytics

Faculty of Information Science and Technology (FIST)

(R2/481/6/0079) 11/21 (A7498)

This programme equips students with business intelligence and analytical skills to provide insights and improved decision making to corporations in achieving business agility. The purpose is to produce graduates who are knowledgeable in the components of information technology and data analytics, capable to plan, design, visualise, analyse and interpret business statistical data. Some of the subjects covered in this programme are Data Mining and Machine Learning, IT Project Management for Business Analysts, Business Intelligence, Internet Marketing, Knowledge Intelligence, Information Systems Audit, Human Computer Interaction, Organisational Behaviour, Enterprise Resource Planning and Technology Transfer.


  • Entry Requirements
    • • Pass Foundation / Matriculation studies in related field from a recognised institution and a Credit in Mathematics at SPM Level or its equivalent; OR
    • • Pass STPM or its equivalent with a minimum Grade C (GP 2.00) in any 2 subjects a AND a Credit in Mathematics at SPM Level or its equivalent; OR
    • • Pass A-Level with a minimum of Grade D in any 2 subjects AND a Credit in Mathematics at SPM Level or its equivalent; OR
    • • Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics and English; OR
    • • Diploma in Computer Science OR Software Engineering OR Information Technology OR Information Systems or equivalent with a minimum CGPA of 2.50 and a Credit in Mathematics at SPM Level or its equivalent;* OR
    • Candidates with CGPA below 2.50 but above 2.00 may be admitted subject to a rigorous internal assessment process.
    • • Any other Diploma in Science and Technology or Business Studies with a minimum CGPA of 2.5 may be admitted, subject to a rigorous internal assessment process and a Credit in Mathematics at SPM Level or its equivalent.
    • Note: Candidates without a Credit in Mathematics at SPM Level or its equivalent may be admitted if the qualification contains subjects in Mathematics and the achievement is higher or equivalent to the requirement of the subject at SPM Level or its equivalent.
  • Programme Structure
    • Core
      • Year 1
        • Mathematical Techniques
          Computer Programming
          Database Systems
          Operating Systems
          Discrete Mathematics and Probability
          Computer Architecture and Organisation
          Data Communications and Networking
          Ethics and Professional Conducts
      • Year 2
        • Data Structures and Algorithms
          Object Oriented Programming
          System Analysis and Design
          Technopreneur Venture
          Human Computer Interaction
          Organisational Behaviour
          Software Engineering Fundamentals
          Information Systems Development
          Industrial Training
          Data Mining and Machine Learning
          Business Statistics Analysis
          Financial Accounting for Managers
      • Year 3
        • Project
          Information Systems Audit
          Business Intelligence
          Technology Transfer
          Knowledge Intelligence
          Enterprise Resource Planning
          Internet Marketing
          Project Management for Business Analytics
    • Elective Modules
      • Introduction to Microeconomics
        Critical Thinking in Organisation
        Fundamentals of Marketing
        Fundamentals of Finance
        Introduction to Macroeconomics
        Mobile and Wireless Communications
        Artificial Intelligence Fundamentals
        Computer Networks
        Introduction to Bioinformatics
        Computer Security
    • University Subjects
      • Year 1
        Business and Entrepreneurship in Malaysia
        Bahasa Kebangsaan A / Foreign Language
      • Year 3
        Bahasa Melayu Komunikasi 2 / Tamadun Islam dan Tamadun Asia
        Pengajian Malaysia 3 / Hubungan Etnik
  • Career Prospects
    • SAP Specialist, Data Scientist, Computer Scientist, IT Auditor, Knowledge Engineer, Business Intelligence Consultant, IT Business Analyst and Web Analyst